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[PDF] Top 20 The Inference System for Fault Diagnosis

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The Inference System for Fault Diagnosis

The Inference System for Fault Diagnosis

... effective fault diagnosis technique based on the prior and contextual knowledge to effectively perform fault diagnosis of the turret / turret drive ...reasoning system more robustly in ... See full document

6

Adaptive Neuro Fuzzy Inference System for Fault Diagnosis of Feed Pump

Adaptive Neuro Fuzzy Inference System for Fault Diagnosis of Feed Pump

... Vibration problem occurs in machinery which has sliding or rotating parts and sometimes leads to damage of components and surrounding structures. Vibrating industrial machinery comprises of motors, pumps, turbines, ... See full document

9

Condition Monitoring and Fault Diagnosis of Gearbox Using Vibration Monitoring and Adaptive Neuro-Fuzzy Inference System

Condition Monitoring and Fault Diagnosis of Gearbox Using Vibration Monitoring and Adaptive Neuro-Fuzzy Inference System

... fuzzy inference system (ANFIS) to diagnose the fault type of the ...neuro-fuzzy inference system as input vectors. Performance of the system was validated by applying the testing ... See full document

7

Artificial Intelligence Fuzzy Inference System based Fault Detection and Isolation Scheme for Pneumatic Actuator

Artificial Intelligence Fuzzy Inference System based Fault Detection and Isolation Scheme for Pneumatic Actuator

... Fault diagnosis is an ongoing significant research field, due to the constant increasing need for maintainability, reliability and safety of industrial ...fuzzy system is able to identify the ... See full document

6

Incipient Fault Detection Analysis of Power Transformer by Fuzzy Inference System

Incipient Fault Detection Analysis of Power Transformer by Fuzzy Inference System

... with fault diagnosis of Power Transformer by taking the data of oil ...of fault is detected successfully by comparing it with the standard tables of Dissolved Gas Analysis methods like Doernen burg ... See full document

9

Fault diagnosis of induction motor based on decision trees and adaptive neuro fuzzy inference

Fault diagnosis of induction motor based on decision trees and adaptive neuro fuzzy inference

... A combined classification and regression tree (CART) algorithm and adaptive neuro-fuzzy inference system (ANFIS) have been presented to perform fault diagnosis of induction motors. The ... See full document

21

Simultaneous Detection of Broken Rotor Bar Fault and PQ disturbances in the Supply to Induction Motor Using Neuro-Fuzzy

Simultaneous Detection of Broken Rotor Bar Fault and PQ disturbances in the Supply to Induction Motor Using Neuro-Fuzzy

... ABSTRACT: This paper presents a methodology for the detection of broken rotor bar fault and power quality (PQ) disturbances in the supply to induction motor. These faults lead to increase in the temperature and ... See full document

9

Intelligent System Design for Stator Windings Faults Diagnosis: Suitable for Maintenance Work

Intelligent System Design for Stator Windings Faults Diagnosis: Suitable for Maintenance Work

... The system performed significantly well, since experiments in a short-circuit condition was con- trolled by a resistance that limited the current dropping it to less than the real faulty ... See full document

7

Vibration model of rolling element bearings in a rotor bearing system for fault diagnosis

Vibration model of rolling element bearings in a rotor bearing system for fault diagnosis

... rotor-bearing system is composing of a rotor, supporting bearings, and ...rotor system diagram. This system consists of a mass less shaft carrying a disk with mass m at the middle of the ...rotor ... See full document

8

Automated post-fault diagnosis of power system disturbances

Automated post-fault diagnosis of power system disturbances

... Digital Fault Recorders (DFR), microprocessor-based protection relays with fault recording capabilities, travelling-wave fault locators, and circuit breaker condition monitoring systems, can aid ... See full document

6

Research on Early Fault Self Recovery Monitoring of Aero Engine Rotor System

Research on Early Fault Self Recovery Monitoring of Aero Engine Rotor System

... Rotor System) and to solve the problem of lacking fault samples in fault diagnosis and the difficulty in identifying early weak fault, we proposed a new method that it not only can ... See full document

5

Design of Integrated Monitoring and Early Warning System of Urban Rail Transit Train Running State

Design of Integrated Monitoring and Early Warning System of Urban Rail Transit Train Running State

... The diagnosis system is used to determine whether the working state of every part of comprehensive monitoring system is normal to provide security assurance for secu- rity monitoring of the ...sensor ... See full document

8

A Fault Diagnosis Monitoring System of Reciprocating Pump

A Fault Diagnosis Monitoring System of Reciprocating Pump

... this system to build multiple threads since the application is needed to carry out data sampling, dynamic display and fault analysis at the same ...the system working, CPU rotate the time slice of ... See full document

6

Small World Stratification for Power System Fault Diagnosis.

Small World Stratification for Power System Fault Diagnosis.

... automated fault diagnosis, which infers the root cause of a fault event based on fault ...automated fault diagnosis is an effective tool to expedite the repairing ...Automated ... See full document

156

Fault Diagnosis and Conditional monitoring System of a wind turbine

Fault Diagnosis and Conditional monitoring System of a wind turbine

... the system elements, either by human-based resources or intelligent systems, helps to forestall and lower the amount of major ...essential system element conditions can cause improved recognition of faulty ... See full document

6

Fault Diagnosis and Fault-Tolerant Control of Wind Turbines via sliding mode control

Fault Diagnosis and Fault-Tolerant Control of Wind Turbines via sliding mode control

... Fault tolerant control of wind turbine systems is an emerging field of research [1-5]. Energy demand thrusts manufacturers to produce larger wind turbines and move to offshore implementation. Besides, high ... See full document

7

Research on Multivariable Adaptive Control of HVAC System

Research on Multivariable Adaptive Control of HVAC System

... water system, chilled water system, refrigerant system, automatic control system, ...condensing system, which will cause changes in the volume of air passing through the condenser coil ... See full document

5

Fault Diagnosis and Application Based on SOM Neural Network

Fault Diagnosis and Application Based on SOM Neural Network

... the system increases rapidly, the safety and reliability of equipment problems have become increasingly prominent ...the system operation, the system appears in some minor failures if not timely ... See full document

8

Fault Diagnosis Testbed for Plug and Play Photovoltaic System.

Fault Diagnosis Testbed for Plug and Play Photovoltaic System.

... In the future we want to see if we can utilize the developed testbed to test different fault diagnosis algorithms in PnP system. Future work should also focus on the implementation of hardware on ... See full document

112

Wind Turbine Monitoring and Diagnosis Using CAN

Wind Turbine Monitoring and Diagnosis Using CAN

... ABSTRACT: Electrical energy can be produced using fossil fuels and also by natural resources. The production of electrical energy using fossil fuels is costlier when compared to natural resources. Solar, wind, thermal ... See full document

5

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